CN113299264A - Active noise reduction method and device, earphone, readable storage medium and electronic equipment - Google Patents

Active noise reduction method and device, earphone, readable storage medium and electronic equipment Download PDF

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CN113299264A
CN113299264A CN202110559659.0A CN202110559659A CN113299264A CN 113299264 A CN113299264 A CN 113299264A CN 202110559659 A CN202110559659 A CN 202110559659A CN 113299264 A CN113299264 A CN 113299264A
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noise reduction
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noise
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CN113299264B (en
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刘益帆
徐银海
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Beijing Ansheng Haolang Technology Co ltd
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1785Methods, e.g. algorithms; Devices
    • G10K11/17853Methods, e.g. algorithms; Devices of the filter
    • G10K11/17854Methods, e.g. algorithms; Devices of the filter the filter being an adaptive filter
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1787General system configurations
    • G10K11/17879General system configurations using both a reference signal and an error signal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00Details of transducers, loudspeakers or microphones
    • H04R1/10Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • H04R1/1083Reduction of ambient noise
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K2210/00Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
    • G10K2210/10Applications
    • G10K2210/108Communication systems, e.g. where useful sound is kept and noise is cancelled
    • G10K2210/1081Earphones, e.g. for telephones, ear protectors or headsets
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2460/00Details of hearing devices, i.e. of ear- or headphones covered by H04R1/10 or H04R5/033 but not provided for in any of their subgroups, or of hearing aids covered by H04R25/00 but not provided for in any of its subgroups
    • H04R2460/01Hearing devices using active noise cancellation

Abstract

The application provides an active noise reduction method and device, an earphone, a readable storage medium and an electronic device. According to the method and the device, the first noise reduction signal is determined according to the residual noise signal collected by the error microphone and the first noise reduction parameter, then the loudspeaker is driven to reduce the noise of the target area corresponding to the error microphone based on the first noise reduction signal, the noise reduction depth can be improved, and the better noise reduction effect is achieved.

Description

Active noise reduction method and device, earphone, readable storage medium and electronic equipment
Technical Field
The application relates to the technical field of audio signal processing, in particular to an active noise reduction method, an active noise reduction device, an earphone, a readable storage medium and electronic equipment.
Background
In the field of Active Noise Cancellation (ANC), feedforward Active Noise reduction schemes are most commonly used. However, in feedforward active noise reduction, the reference microphone for collecting the ambient noise is closer to the original noise source relative to the target noise reduction region, so the noise reduction width (the frequency range capable of noise reduction) is larger, but the noise reduction depth (the sound pressure level capable of noise reduction) is generally lower because the noise level after noise reduction cannot be reflected.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides an active noise reduction method, an active noise reduction device, an earphone, a readable storage medium and electronic equipment, and the active noise reduction effect is improved by implementing a feedback active noise reduction system. The technical scheme is specifically adopted in the application.
Firstly, in order to achieve the above object, an active noise reduction method is provided, which includes the steps of: determining a first noise reduction signal according to the residual noise signal acquired by the error microphone and the first noise reduction parameter; and driving a loudspeaker based on the first noise reduction signal, and reducing the noise of a target area corresponding to the error microphone.
Optionally, the active noise reduction method according to any of the above, further includes: determining a second noise reduction signal according to the original noise signal acquired by the reference microphone and the second noise reduction parameter; determining a first noise reduction signal according to the residual noise signal collected by the error microphone and the first noise reduction parameter, wherein the determining comprises the following steps: determining a secondary path estimation signal according to the initial first noise reduction signal and the second noise reduction signal, and the secondary acoustic path parameters; determining a bias signal between the residual noise signal and the secondary path estimate signal; determining an updated first noise reduction signal according to the deviation signal and the first noise reduction parameter; driving a speaker based on the first noise reduction signal, comprising: driving the speaker based on the updated first and second noise reduction signals.
Optionally, the active noise reduction method according to any of the above, further includes: determining updated secondary acoustic path parameters based on the initial first and second noise reduction signals and the bias signal; determining an updated secondary path estimate signal based on the updated first and second noise reduction signals and the updated secondary acoustic path parameters.
Optionally, the active noise reduction method according to any of the above, wherein determining updated secondary acoustic path parameters based on the initial first noise reduction signal and the second noise reduction signal, and the deviation signal includes: determining the secondary path estimation signal according to the superposed signal of the signal to be played, the initial first noise reduction signal and the initial second noise reduction signal, which have no correlation with the noise signal, and the secondary acoustic path parameter; determining the bias signal based on the residual noise signal and the secondary path estimation signal; determining the updated secondary acoustic path parameter based on the superposition signal and the deviation signal.
Optionally, the active noise reduction method according to any of the above, further includes: determining the second noise reduction parameter according to the original noise signal and the secondary acoustic path parameter, and the residual noise signal.
Meanwhile, in order to achieve the above object, the present application further provides an active noise reduction device, which includes: the determining module is used for determining a noise reduction signal according to the residual noise signal and the noise reduction parameter acquired by the error microphone; and the noise reduction module is used for driving a loudspeaker based on the noise reduction signal and reducing noise of a target area corresponding to the error microphone.
Simultaneously, for realizing above-mentioned purpose, this application still provides an earphone of making an uproar falls in initiative, and it includes: the error microphone is used for collecting residual noise signals in the ears of the user; the feedback filter is used for carrying out noise reduction filtering on the residual noise signal and outputting a feedback noise reduction signal; and the loudspeaker is used for responding to the feedback noise reduction signal and emitting noise reduction sound waves.
Optionally, the active noise reduction headphone is as described in any above, wherein the feedback filter is an adaptive filter.
Also, to achieve the above object, the present application further provides a computer readable storage medium comprising computer instructions stored thereon, which, when executed by a processor, cause the processor to perform the active noise reduction method as described in any one of the above.
Meanwhile, in order to achieve the above object, the present application also provides an electronic device, which includes: a processor; a memory comprising computer instructions stored thereon which, when executed by the processor, cause the processor to perform the active noise reduction method as in any one of the above.
Advantageous effects
According to the method and the device, the first noise reduction signal is determined according to the residual noise signal collected by the error microphone and the first noise reduction parameter, then the loudspeaker is driven to reduce the noise of the target area corresponding to the error microphone based on the first noise reduction signal, the noise reduction depth can be improved, and the better noise reduction effect is achieved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application and not limit the application. In the drawings:
FIG. 1 is a schematic diagram of a basic principle framework of an active noise reduction earphone implemented according to an embodiment of the present application;
FIG. 2 is a block diagram of signal processing for the active noise reduction earphone of FIG. 1;
FIG. 3 is a block diagram of signal processing for an active noise reduction headphone implemented according to another embodiment of the present application;
FIG. 4 is a block diagram of signal processing for an active noise reduction headphone implemented according to yet another embodiment of the present application;
fig. 5 is a block diagram of signal processing for an active noise reduction headphone implemented according to yet another embodiment of the present application.
Detailed Description
In order to make the purpose and technical solutions of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings of the embodiments of the present application. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the application without any inventive step, are within the scope of protection of the application.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The term "connected" as used herein may mean either a direct connection between components or an indirect connection between components via other components.
It should be noted that, the method of the present application is exemplarily illustrated with an active noise reduction headphone as an execution subject, and the steps and flows related to the method of the present application are described by an active noise reduction headphone circuit framework, but the method is also applicable in the context of other active noise reduction devices besides headphones.
Fig. 1 is a diagram of an active noise reduction earphone frame implemented according to an embodiment of the method of the present application, and a corresponding signal processing procedure is shown in fig. 2. This earphone of making an uproar falls in initiative includes: an error microphone err Mic, a loudspeaker, and a feedback controller (i.e., a feedback filter, corresponding to the first noise reduction parameter W)fb). In the figure, the residual noise signal after noise reduction collected by err Mic is e (n), and the first noise reduction signal (i.e. the feedback noise reduction signal) is b (n).
According to the active noise reduction method, the noise of the target area after being reduced in noise is processed in real time through the feedback noise reduction system, and the loudspeaker is driven to reduce the noise of the target area based on the feedback noise reduction signal, so that the noise reduction depth can be obviously improved.
To further improve the noise reduction effect, the present application further sets the reference microphone ref Mic shown in fig. 1 or fig. 2 and a feedforward controller (i.e., a feedforward filter, corresponding to the second noise reduction parameter W) connected to the reference microphone ref Mic in the headphone according to an embodiment of the methodff). The original noise signal collected by ref Mic is d (n), the second noise reduction signal (i.e., the feedforward noise reduction signal) is y (n), the parameter of the primary acoustic path (ref Mic to err Mic) is P, and the parameter of the secondary acoustic path (speaker to err Mic) is G. At the moment, the feedforward noise reduction system and the feedback noise reduction system drive the loudspeaker togetherAnd playing the noise reduction sound wave.
It should be noted that the dashed block diagram (P, G) in the drawings of the present application represents the real acoustic path in the sound cavity space of the earphone, and the dashed arrow represents the propagation of the acoustic signal in the corresponding space.
According to the active noise reduction method, noise reduction is performed on a target area where an error microphone is located in a mixed mode of feedforward noise reduction and feedback noise reduction, and a feedback noise reduction system processes noise of the target area after noise reduction in real time, so that excellent noise reduction depth can be guaranteed; meanwhile, the feedforward noise reduction system processes the noise which does not reach the target area in real time, and the noise reduction width can be obviously improved.
In sum, the superposed signal of the first noise reduction signal and the second noise reduction signal drives the loudspeaker to play noise reduction sound waves, so that the noise reduction width and the noise reduction depth can be achieved, and the active noise reduction effect on the target area is improved.
In light of the above, the residual noise signal can be described in the frequency domain by the following equation:
[e(f)·Wfb(f)+y(f)]g (f) + d (f) p (f) ═ e (f) formula (1)
Thus, there are:
Figure BDA0003078560840000051
it can be seen that the residual noise signal is used as the input of the feedback controller, which is influenced by the open-loop transfer function W of the feedback systemfb(f) G (f), if it approaches 1 in a certain frequency band, the feedback system will be unstable.
In contrast, as shown in fig. 1 and 2, the feedback noise reduction system further includes: secondary path transfer function estimation
Figure BDA0003078560840000061
As an estimation unit of the secondary acoustic path parameters for characterizing the true secondary acoustic path transfer function with the circuit transfer function.
In contrast to the previous embodiment, when the feedback noise reduction system determines the first noise reduction signal: according to the first noise reduction signalA superimposed signal b (n) + y (n) of number b (n) and a second noise reduction signal y (n), and
Figure BDA0003078560840000062
determining a secondary path estimation signal, determining a deviation signal e '(n +1) between the residual noise signal e (n +1) and the secondary path estimation signal, and determining a first noise reduction parameter W based on the deviation signal e' (n +1) and the first noise reduction parameterfbA first noise reduction signal b (n +1) is determined. At this time, the input signal of the feedback controller is no longer a residual noise signal, but (frequency domain expression):
Figure BDA0003078560840000063
therefore, the method adds an estimation unit for the secondary acoustic path parameter in the feedback noise reduction system
Figure BDA0003078560840000068
So that no pole exists in the input signal of the feedback controller, and the stability of the feedback system in the embodiment is enhanced.
Furthermore, the input signal of the feedback controller is only related to the original noise signal and the primary acoustic path, and does not contain the feedforward noise reduction signal output by the feedforward controller, so that the feedforward noise reduction system and the feedback noise reduction system in the embodiment have good advantage complementarity.
In the above scheme, the estimating unit
Figure BDA0003078560840000064
The method may be designed offline before the earphone leaves the factory, or may be obtained by adaptive solution in the actual use process of the earphone, as shown in fig. 3: based on the superimposed signal b (n) + y (n) of the first noise-reduced signal b (n) and the second noise-reduced signal y (n), and
Figure BDA0003078560840000065
determining a secondary path estimation signal, determining based on the superposition signal b (n) + y (n) and the deviation signal e' (n)
Figure BDA0003078560840000066
And according to the sum of the superimposed signals b (n +1) + y (n +1)
Figure BDA0003078560840000067
Updating the secondary path estimation signal; thereafter, as in the previous embodiment, a deviation signal e '(n +2) between the residual noise signal e (n +2) and the secondary path estimation signal is determined, and based on the deviation signal e' (n +2) and the first noise reduction parameter WfbA first noise reduction signal b (n +2) is determined.
Adaptive solution
Figure BDA0003078560840000069
In the process of (a), the deviation signal e' (n) is used as one of the input signals of the adaptive link, and the other input signal of the adaptive link includes, in addition to the first noise reduction signal b (n) and the second noise reduction signal y (n), in some embodiments, an earphone to-be-played signal x (n) having no correlation with the noise signal may be further superimposed, for example: a media audio signal or a speech signal.
The present application also provides an active noise reduction headphone frame as shown in fig. 4 according to a method embodiment. Unlike fig. 2, the feedforward filter in the active noise reduction headphone is set as an adaptive filter. In the adaptive link: based on the original noise signal d (n) and the preceding determination
Figure BDA0003078560840000071
Obtaining one input signal of the self-adaptive link, taking the residual noise signal e (n) as the other input signal of the self-adaptive link, iteratively updating the initial parameters of the feedforward controller through the residual noise signal e (n) and the residual noise signal e (n) until the energy of the residual noise signal e (n) converges to the minimum value, and determining the optimal second noise reduction parameter W at the momentff
The present application also provides an active noise reducing headphone frame as shown in fig. 5 according to a method embodiment. Unlike fig. 2 and 4, the feedback filter in the active noise reduction headphone is set as an adaptive filter. In the adaptive link: the input signal of the feedback controller, namely the deviation signal e' (n), is used as an adaptive linkAnd taking the residual noise signal e (n) as the other input signal of the self-adaptive link, and iteratively updating the initial parameter of the feedback controller through the residual noise signal e (n) and the residual noise signal e (n) until the energy of the residual noise signal e (n) converges to the minimum value, and determining the optimal first noise reduction parameter W at the momentfb
In other implementations, the present application further provides an active noise reduction apparatus, including:
the determining module is used for determining a noise reduction signal according to the residual noise signal and the noise reduction parameter acquired by the error microphone;
and the noise reduction module is used for driving the loudspeaker based on the noise reduction signal and reducing noise of a target area corresponding to the error microphone.
The active noise reduction earphone provided by the foregoing embodiment of the present application can be further obtained by applying the active noise reduction apparatus to an earphone. The earphone includes:
the error microphone is arranged in the earphone shell and close to the sound outlet hole and is used for collecting residual noise signals in the ears of the user;
the feedback filter corresponds to the determining module in the active noise reduction device and is used for carrying out noise reduction filtering on the residual noise signal according to the first noise reduction parameter and outputting a feedback noise reduction signal;
and the loudspeaker corresponds to the noise reduction module in the active noise reduction device and is used for responding to the feedback noise reduction signal and sending noise reduction sound waves.
The active noise reduction earphone has the advantages that noise after noise reduction is carried out on the auditory canal of a user through feedback noise reduction and real-time processing, the loudspeaker is driven to reduce noise of the auditory canal of the user based on the feedback noise reduction signal, and the noise reduction depth can be obviously improved.
In some embodiments, the headset may further include:
the reference microphone is arranged on the earphone shell and used for collecting original noise signals outside the ears of the user; and
the feedforward filter corresponds to the determining module in the active noise reduction device and is used for carrying out noise reduction filtering on the original noise signal according to a second noise reduction parameter and outputting a feedforward noise reduction signal;
at this time, the headphone speaker emits noise reduction sound waves in response to a superimposed signal of the feedforward noise reduction signal and the feedback noise reduction signal.
In some embodiments, the feedforward filter and the feedback filter may each be implemented as an adaptive filter.
According to the active noise reduction earphone, noise reduction is performed on the auditory canal of a user through a mixed structure of feedforward noise reduction and feedback noise reduction, the feedback filter processes residual noise in the ear in real time, excellent noise reduction depth can be guaranteed, and the maximum noise reduction depth can reach 35-40 dB; meanwhile, the feedforward filter processes the environmental noise which does not enter the auditory canal in real time, and the noise reduction width can be remarkably improved and can reach 3kHz (kilohertz) at most. In sum, the overlapped signal of the feedforward noise reduction signal and the feedback noise reduction signal drives the earphone loudspeaker to play noise reduction sound waves, so that the noise reduction width and the noise reduction depth can be achieved, and the active noise reduction effect on the auditory canal of a user is obviously improved.
In another aspect, other embodiments of the present application further provide a computer-readable storage medium, on which computer instructions are stored, and the computer instructions, when executed by a processor, implement the active noise reduction method according to any of the above embodiments. It is understood that the computer storage medium can be any tangible medium, such as: floppy disks, CD-ROMs, DVDs, hard drives, network media, or the like.
In yet another aspect, other embodiments of the present application further provide an electronic device, including: a processor; a memory including computer instructions stored thereon which, when executed by the processor, cause the processor to perform the active noise reduction method as provided in any of the embodiments above.
The above are merely embodiments of the present application, and the description is specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the protection scope of the present application.

Claims (10)

1. An active noise reduction method, comprising:
determining a first noise reduction signal according to the residual noise signal acquired by the error microphone and the first noise reduction parameter;
and driving a loudspeaker based on the first noise reduction signal, and reducing the noise of a target area corresponding to the error microphone.
2. The active noise reduction method of claim 1, further comprising: determining a second noise reduction signal according to the original noise signal acquired by the reference microphone and the second noise reduction parameter;
determining a first noise reduction signal according to the residual noise signal collected by the error microphone and the first noise reduction parameter, wherein the determining comprises the following steps:
determining a secondary path estimation signal according to the initial first noise reduction signal and the second noise reduction signal, and the secondary acoustic path parameters;
determining a bias signal between the residual noise signal and the secondary path estimate signal;
determining an updated first noise reduction signal according to the deviation signal and the first noise reduction parameter;
driving a speaker based on the first noise reduction signal, comprising: driving the speaker based on the updated first and second noise reduction signals.
3. The active noise reduction method of claim 2, further comprising:
determining updated secondary acoustic path parameters based on the initial first and second noise reduction signals and the bias signal;
determining an updated secondary path estimate signal based on the updated first and second noise reduction signals and the updated secondary acoustic path parameters.
4. The active noise reduction method of claim 3, wherein determining updated secondary acoustic path parameters based on the initial first and second noise reduction signals and the bias signal comprises:
determining the secondary path estimation signal according to the superposed signal of the signal to be played, the initial first noise reduction signal and the initial second noise reduction signal, which have no correlation with the noise signal, and the secondary acoustic path parameter;
determining the bias signal based on the residual noise signal and the secondary path estimation signal;
determining the updated secondary acoustic path parameter based on the superposition signal and the deviation signal.
5. The active noise reduction method of claim 2, further comprising: determining the second noise reduction parameter according to the original noise signal and the secondary acoustic path parameter, and the residual noise signal.
6. An active noise reduction device, comprising:
the determining module is used for determining a noise reduction signal according to the residual noise signal and the noise reduction parameter acquired by the error microphone;
and the noise reduction module is used for driving a loudspeaker based on the noise reduction signal and reducing noise of a target area corresponding to the error microphone.
7. An active noise reduction earphone, comprising:
the error microphone is used for collecting residual noise signals in the ears of the user;
the feedback filter is used for carrying out noise reduction filtering on the residual noise signal and outputting a feedback noise reduction signal;
and the loudspeaker is used for responding to the feedback noise reduction signal and emitting noise reduction sound waves.
8. The active noise reduction earphone of claim 7 wherein the feedback filter is an adaptive filter.
9. A computer readable storage medium comprising computer instructions stored thereon, which when executed by a processor, cause the processor to perform the active noise reduction method of any of claims 1-5.
10. An electronic device, comprising:
a processor;
a memory including computer instructions stored thereon that, when executed by the processor, cause the processor to perform the active noise reduction method of any of claims 1-5.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113823255A (en) * 2021-09-01 2021-12-21 珠海格力电器股份有限公司 Noise reduction method and device, electronic equipment and computer readable storage medium
WO2023160286A1 (en) * 2022-02-28 2023-08-31 荣耀终端有限公司 Noise reduction parameter adaptation method and apparatus

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101203905A (en) * 2005-04-22 2008-06-18 阿诺克系统股份公司 Method for reproducing a secondary path in an active noise reduction system
US20150086031A1 (en) * 2013-09-24 2015-03-26 Kabushiki Kaisha Toshiba Active noise-reduction apparatus and method
EP3182722A1 (en) * 2015-12-16 2017-06-21 Harman Becker Automotive Systems GmbH Active noise control in a helmet
CN108665887A (en) * 2018-04-02 2018-10-16 重庆邮电大学 A kind of active noise control system and method based on improvement FxLMS algorithms
CN110010116A (en) * 2018-11-23 2019-07-12 重庆邮电大学 A kind of active noise control system based on momentum FxLMS algorithm
CN111583897A (en) * 2020-05-21 2020-08-25 清华大学苏州汽车研究院(相城) Active noise reduction system for kitchen appliance and control method thereof
CN111627415A (en) * 2020-04-28 2020-09-04 重庆邮电大学 Active noise reduction device based on self-adaptive MFxLMS algorithm and FPGA implementation
CN111800688A (en) * 2020-03-24 2020-10-20 深圳市豪恩声学股份有限公司 Active noise reduction method and device, electronic equipment and storage medium
CN111935589A (en) * 2020-09-28 2020-11-13 深圳市汇顶科技股份有限公司 Active noise reduction method and device, electronic equipment and chip
CN112562626A (en) * 2020-11-30 2021-03-26 深圳百灵声学有限公司 Design method of hybrid noise reduction filter, noise reduction method, system and electronic equipment

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101203905A (en) * 2005-04-22 2008-06-18 阿诺克系统股份公司 Method for reproducing a secondary path in an active noise reduction system
US20150086031A1 (en) * 2013-09-24 2015-03-26 Kabushiki Kaisha Toshiba Active noise-reduction apparatus and method
EP3182722A1 (en) * 2015-12-16 2017-06-21 Harman Becker Automotive Systems GmbH Active noise control in a helmet
CN108665887A (en) * 2018-04-02 2018-10-16 重庆邮电大学 A kind of active noise control system and method based on improvement FxLMS algorithms
CN110010116A (en) * 2018-11-23 2019-07-12 重庆邮电大学 A kind of active noise control system based on momentum FxLMS algorithm
CN111800688A (en) * 2020-03-24 2020-10-20 深圳市豪恩声学股份有限公司 Active noise reduction method and device, electronic equipment and storage medium
CN111627415A (en) * 2020-04-28 2020-09-04 重庆邮电大学 Active noise reduction device based on self-adaptive MFxLMS algorithm and FPGA implementation
CN111583897A (en) * 2020-05-21 2020-08-25 清华大学苏州汽车研究院(相城) Active noise reduction system for kitchen appliance and control method thereof
CN111935589A (en) * 2020-09-28 2020-11-13 深圳市汇顶科技股份有限公司 Active noise reduction method and device, electronic equipment and chip
CN112562626A (en) * 2020-11-30 2021-03-26 深圳百灵声学有限公司 Design method of hybrid noise reduction filter, noise reduction method, system and electronic equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113823255A (en) * 2021-09-01 2021-12-21 珠海格力电器股份有限公司 Noise reduction method and device, electronic equipment and computer readable storage medium
WO2023160286A1 (en) * 2022-02-28 2023-08-31 荣耀终端有限公司 Noise reduction parameter adaptation method and apparatus

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